开源软件名称：

JuliaStats/RDatasets.jl

开源软件地址：

https://github.com/JuliaStats/RDatasets.jl

开源编程语言：

R 53.4%

开源软件介绍：

RDatasets.jl

The RDatasets package provides an easy way for Julia users to experiment with most of the standard data sets that are available in the core of R as well as datasets included with many of R's most popular packages. This package is essentially a simplistic port of the Rdatasets repo created by Vincent Arelbundock, who conveniently gathered data sets from many of the standard R packages in one convenient location on GitHub at https://github.com/vincentarelbundock/Rdatasets

In order to load one of the data sets included in the RDatasets package, you will need to have the DataFrames package installed. This package is automatically installed as a dependency of the RDatasets package if you install RDatasets as follows:

Pkg.add("RDatasets")

After installing the RDatasets package, you can then load data sets using the dataset() function, which takes the name of a package and a data set as arguments:

using RDatasets
iris = dataset("datasets", "iris")
neuro = dataset("boot", "neuro")

Data Sets

The RDatasets.packages() function returns a table of represented R packages:

Package	Title
COUNT	Functions, data and code for count data.
Ecdat	Data sets for econometrics
HSAUR	A Handbook of Statistical Analyses Using R (1st Edition)
HistData	Data sets from the history of statistics and data visualization
ISLR	Data for An Introduction to Statistical Learning with Applications in R
KMsurv	Data sets from Klein and Moeschberger (1997), Survival Analysis
MASS	Support Functions and Datasets for Venables and Ripley's MASS
SASmixed	Data sets from "SAS System for Mixed Models"
Zelig	Everyone's Statistical Software
adehabitatLT	Analysis of Animal Movements
boot	Bootstrap Functions (Originally by Angelo Canty for S)
car	Companion to Applied Regression
cluster	Cluster Analysis Extended Rousseeuw et al.
datasets	The R Datasets Package
gamair	Datasets used in the book Generalized Additive Models: An Introduction with R
gap	Genetic analysis package
ggplot2	An Implementation of the Grammar of Graphics
lattice	Lattice Graphics
lme4	Linear mixed-effects models using Eigen and S4
mgcv	Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation
mlmRev	Examples from Multilevel Modelling Software Review
nlreg	Higher Order Inference for Nonlinear Heteroscedastic Models
plm	Linear Models for Panel Data
plyr	Tools for splitting, applying and combining data
pscl	Political Science Computational Laboratory, Stanford University
psych	Procedures for Psychological, Psychometric, and Personality Research
quantreg	Quantile Regression
reshape2	Flexibly Reshape Data: A Reboot of the Reshape Package.
robustbase	Basic Robust Statistics
rpart	Recursive Partitioning and Regression Trees
sandwich	Robust Covariance Matrix Estimators
sem	Structural Equation Models
survival	Survival Analysis
vcd	Visualizing Categorical Data

The RDatasets.datasets() function returns a table describing the 700+ included datasets. Or pass in a package name (e.g. RDatasets.datasets("mlmRev")) for a targeted table:

Package	Dataset	Title	Rows	Columns
mlmRev	Chem97	Scores on A-level Chemistry in 1997	31022	8
mlmRev	Contraception	Contraceptive use in Bangladesh	1934	6
mlmRev	Early	Early childhood intervention study	309	4
mlmRev	Exam	Exam scores from inner London	4059	10
mlmRev	Gcsemv	GCSE exam score	1905	5
mlmRev	Hsb82	High School and Beyond - 1982	7185	8
mlmRev	Mmmec	Malignant melanoma deaths in Europe	354	6
mlmRev	Oxboys	Heights of Boys in Oxford	234	4
mlmRev	ScotsSec	Scottish secondary school scores	3435	6
mlmRev	bdf	Language Scores of 8-Graders in The Netherlands	2287	28
mlmRev	egsingle	US Sustaining Effects study	7230	12
mlmRev	guImmun	Immunization in Guatemala	2159	13
mlmRev	guPrenat	Prenatal care in Guatemala	2449	15
mlmRev	star	Student Teacher Achievement Ratio (STAR) project data	26796	18

Licensing and Intellectual Property

Following Vincent's lead, we have assumed that all of the data sets in this repository can be made available under the GPL-3 license. If you know that one of the datasets released here should not be released publicly or if you know that a data set can only be released under a different license, please contact me so that I can remove the data set from this repository.